PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic

Excerpt

arXiv:2511.20586v5 Announce Type: replace Abstract: Trustworthiness has become a key requirement for deploying artificial intelligence in safety-critical applications, yet conventional metrics such as accuracy fail to capture uncertainty or the reliability of predictions, particularly under adversarial or degraded conditions. This paper introduces the Parallel Trust Assessment System (PaTAS), a framework for modeling and propagating trust in neural networks using Subjective Logic (SL). PaTAS ope